Can Gemma 4 31B run on Mac mini M6 16GB?

NO — Won’t fit
Q4_K_M · 4K context · formula estimate

What this means

The checked Q4_K_M build needs about 22.2GB, above this Mac's conservative 13GB working budget.

−9.2GB short
above the working budget
22.2GB
needed at Q4_K_M
Q4_K_M
quant selected
0GB
working headroom
needs 22.2 GBworking budget 13 GB · short 9.2 GB
Apple M616 GB unified memoryMetalActive cooling

Where the memory goes

ComponentDetailGB
Model weightsQ4_K_M GGUF (18.3 GB) + mmap overhead19.2
KV cache4K context window2.2
RuntimemacOS inference app + compute buffers0.8
Total neededat Q4_K_M, 4K context22.2
Working budget16 GB unified memory − conservative macOS reserve13
Headroommemory shortfall−9.2

Pick your quant

QuantDownloadMemoryEstimated speedVerdict
Q3_K_M14.7 GB18.4 GB Won't fit
IQ4_XS16.4 GB20.2 GB Won't fit
Q4_017.3 GB21.1 GB Won't fit
Q4_K_S17.4 GB21.2 GB Won't fit
Q4_K_M18.3 GB22.2 GB Won't fit
Q5_K_M21.7 GB25.8 GB Won't fit
Q6_K25.2 GB29.4 GB Won't fit
Q8_032.6 GB37.2 GB Won't fit

Other models on this Mac

Gemma 4 31B on other Mac mini M6 configurations

FAQ

Can the Mac mini M6 · 16GB run Gemma 4 31B?

Not with the quants currently tracked. The selected Q4_K_M build needs about 22.2GB, above the 13GB working budget.

Which Gemma 4 31B quant should I use on this Mac?

None of the tracked quants fit this configuration safely. Choose a smaller model or a Mac with more unified memory.

Which app should I use for Gemma 4 31B on this Mac?

Start with LM Studio. This page gives the complete point-and-click walkthrough.

Are these speeds measured on a Mac mini M6?

No. The range is a formula estimate based on memory bandwidth, model size, active parameters, cooling, and a 4K context. The app, backend, thermals, and prompt can change real performance.